CONFERENCE
Selected Conferences
Min, K., Lee, S., Joo, Y., and Son, Y. 리튬 이온 배터리 관리 시스템에 대한 저주파 교란 기반 적대적 공격 방법, Conference of Korea Data Mining Society, Seoul, November 2023.
Shin, S., Do, H., and Son, Y. Dummy 디코더의 그래디언트 놈 정규화를 통한 Multi-task learning 내 공유 표현 보편성 개선 알고리즘, Conference of Korea Data Mining Society, Seoul, November 2023.
Choi, C., Shin, S., Lee, K., Joo, Y., and Son, Y. 기계학습 기반의 전지구 온실가스 농도 예측 방법, Conference of Korea Data Mining Society, Seoul, November 2023.
Min, K., Lee, S., Choi, C., and Son, Y. 베어링 고장 진단을 위한 신호의 전역적 구조 정보 기반 특징 추출 방법, Conference of Korea Data Mining Society, Gangneung, June 2023.
Jeong, E., Lee, S., and Son, Y. 딥러닝 기반의 리튬 이온 배터리 상태 진단 및 도메인 변화에 따른 불확실성 추정, Conference of Korea Data Mining Society, Gangneung, June 2023.
Choi, C., Lee, S., Shin, S., Jeong, E., and Son, Y. 노이즈 레이블 상황 하에서의 누적 손실 기반 시계열 샘플 선택, The Joint Conference of KIIE/KORMS, Jeju, June 2023.
Min, K., Lee, S., Lee, K., and Son, Y. 시간적 대조 학습을 통한 리튬 이온 배터리의 잔존용량 추정, The Joint Conference of KIIE/KORMS, Jeju, June 2023.
Choi, C., Lee W., and Son, Y. 노이즈 레이블에 강건한 분류를 위한 데이터셋 정제 기반 다단계 앙상블, Conference of Korea Data Mining Society, Busan, August 2022.
Lee, S., Lee, S., Lee, W., and Son, Y. 클래스 일관성을 고려한 그래프 대조학습, Conference of Korea Data Mining Society, Busan, August 2022.
Lee, S., Choi, C., and Son, Y. Novel Graph-Based Features for Bearing Fault Diagnosis: Two Aspects of Time Series Structure, 7th European Conference of the Prognostics and Health Management Society, Turin, July 2022.
Jeong, E., Lee, S., Choi, E., Seo, M., and Son, Y. 인공지능을 활용한 치외치 조기 탐지, The Joint Conference of KIIE/KORMS, Jeju, June 2022.
Shin, S., Choi, C., Lee, J., and Son, Y. Meta-learning을 활용한 Multitask learning 에서의 task balancing, The Joint Conference of KIIE/KORMS, Jeju, June 2022.
Hong, J. and Son, Y. 베어링 고장 탐지를 위한 Open-set recognition 방법론의 적용 및 비교, Conference of Korean Institute of Industrial Engineers, Seoul, November 2021.
Lee, S. 시계열의 연결 정도 및 강도를 이용한 고장 진단 방법론, Conference of Korean Institute of Industrial Engineers, Seoul, October 2021. (제1회 신뢰성/PHM 학술논문 경진대회 최우수상)
Lee, S., Lee, S., Hong, J., Lee, J., and Son, Y. 주파수 기반 그래프 특징 추출 및 고장 탐지, The Joint Conference of KIIE/KORMS, Jeju, June 2021.
Jeong, E., Lee, S., Shin, S., Choi, E., Pang, K., Youm, S., and Son, Y. 하악 제 3 대구치와 하치조신경관의 위치 관계 판별을 위한 머신러닝 알고리즘 비교 연구, The Joint Conference of KIIE/KORMS, Jeju, June 2021.
Park, H. and Son, Y. 분자의 부분적 특성 표현을 위한 새로운 그래프 어텐션 방법, Conference of Korea Data Mining Society, Seoul, November 2020.
Nam, K., Kim, W., and Son, Y. 어텐션 메커니즘 기반의 설명 가능한 군집화 알고리즘을 이용한 아마존 (Amazon) 고객 리뷰 데이터 감성 분석, Conference of Korean Institute of Industrial Engineers, Seoul, November 2020.
Shin, S., Nam, K., Chang, J., and Son, Y. 어텐션 기반 설명가능한 모형을 이용한 핸드폰 오타 분석, Conference of Korea Data Mining Society, Seoul, November 2019.
Lee, S., Shin, S., and Son, Y. Attention Model을 활용한 고장 예측 및 진단, Conference of Korea Data Mining Society, Seoul, November 2019.
Lee, S. and Son, Y. Meta learning을 이용한 multitask learning, Conference of Korea Data Mining Society, Seoul, November 2019.
Do, H., Kim, S. B., and Son, Y. Class Description Network, The Fifth International Conference on the Interface between Statistics and Engineering, Seoul, June 2019.
Lee, S., Shin, S., Lee, Y., and Son, Y. Multi-task Learning을 활용한 기온 예측, The Joint Conference of KIIE/KORMS/KSS, Gwangju, April 2019.
Syaekhoni, A., Kwon, Y. S., and Son, Y. Distance Metric for Sequence of Shopping Path, 20th Joint Conference of Management Societies, Gyeongju, August 2018.
Son, Y. Active Learning Overview and Active Bayesian Regression Method, Korea Quality Congress, Seoul, May 2018.
Syaekhoni, A., Son, Y., Kwon, Y.S., Lee, S., and Son, Y. Emotion Recognition with Pairwise Risks, The Joint Conference of KORMS/KIIE/KSS, Gyeongju, April 2018.
Son, Y. Variations on Sparse Bayesian Kernel Regression, Conference of Korean Institute of Industrial Engineers 2017, Daejeon, November 2017.
Jeong, M. K., Choi, J., Son, Y., and Kang, J. Deep Learning based Virtual Metrology and Yield Prediction in Semiconductor Manufacturing Processes, PHM Asia Pacific 2017, Jeju, July 2017.
Jang, H., Son, Y., Lee, Y., and Lee, J. Arbitrage-free Machine Learning Models for Stably Predicting American Index Options, INFORMS Analytics 2016, Orlando, April 2016.
Han, G.-S., Son, Y., Jang, H., and Lee, J. Dual-Stage Parameter Estimation for the Stochastic Volatility Using Markov Chain Monte Carlo, Quantitative Methods in Finance, Sydney, December 2015.
Son, Y. and Lee, J. Active Learning for Relevance Vector Machine Regression, INFORMS annual meeting, Philadelphia, November 2015.
Son, Y., Byun, H., and Lee, J. Nonparametric models for predicting credit default swap prices: empirical study, INFORMS annual meeting, San Francisco, November 2014.
Son, Y., Park, S., Byun, H. and Lee, J. Computing default probability using ensemble methods, Asia Pacific Industrial Engineering and Management Systems Conference, Jeju, October 2014. (Best Student Paper Award)
Son, Y., Jang, H., Lee, J., and Han, G.-S. Robust parameter estimation for the stochastic volatility model using Markov chain Monte Carlo, 8th World Congress of the Bachelier Finance Society, Brussels, June 2014.